code: def get_model(PARAMS):
      """Get model according to parameters"""
      model = SVC()
      model.C = PARAMS.get("C")
      model.kernel = PARAMS.get("kernel")
      model.degree = PARAMS.get("degree")
      model.gamma = PARAMS.get("gamma")
      model.coef0 = PARAMS.get("coef0")
  
      return model
  
file_path: nni/examples/tutorials/scripts/trial_sklearn.py
imports: import nni
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import load_digits
  from sklearn.preprocessing import StandardScaler
  from sklearn.svm import SVC
  import logging
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: get_model(PARAMS) and returns: model